Package: NPMLEmix
Type: Package
Title: Two-Groups Mixture Model with Covariates
Version: 1.2
Date: 2020-12-05
Depends: R (>= 3.0.1), Rmosek
Authors@R: c(
    person( "Nabarun", "Deb", email=  "nd2560@columbia.edu", role =  c("aut", "cre")),
    person("Sujayam", "Saha", email =  "sujayam@berkeley.edu", role = "ctb"),
    person("Adityanand", "Guntuboyina", email = "aditya@stat.berkeley.edu", role =  "ctb"),
    person("Bodhisattva", "Sen", email = "bodhi@stat.columbia.edu", role =  "ctb")
    )
Maintainer: Nabarun Deb <nd2560@columbia.edu>
Description: We develop three procedures for estimation in a two-groups model with covariates. One of them is a nonparametric maximum likelihood estimation based approach when the signal distribution is an infinite Gaussian location mixture and the signal proportion is a logistic function of the available covariates. Two other functions - marg1() and marg2() have also been implemented for inference in the above framework. All these methods can be used for inference in multiple hypotheses testing. For more information, see the paper: Deb, Saha, Guntuboyina and Sen (2019), ''Two-component Mixture Model in the Presence of Covariates'' <arXiv:1810.07897v2>.
License: GPL-2
Encoding: UTF-8
Author: Nabarun Deb [aut, cre],
  Sujayam Saha [ctb],
  Adityanand Guntuboyina [ctb],
  Bodhisattva Sen [ctb]
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
SystemRequirements: MOSEK (http://www.mosek.com) and MOSEK license.
URL: https://github.com/NabarunD/NPMLEmix
Imports: R.utils, dplyr, spatstat, methods, latexpdf, Matrix, FDRreg,
        Rcpp, REBayes, CAMAN, progress, pbapply, Hmisc, pracma, mosaic
Packaged: 2020-12-05 23:47:37 UTC; Nabarun Deb
Repository: CRAN
Date/Publication: 2020-12-06 05:50:02 UTC
Built: R 4.0.2; ; 2020-12-06 12:06:35 UTC; unix
